FrancescaDr
PhD in Computational Biology | MSc Computer Science & BSc Artificial Intelligence
Helmholtz Munich | TU Munich
Pinned Repositories
CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
geome
group-movie-recommendation
Group Movie Recommendation. Project made in the context of TU Delft's CS4056 Multimedia Search & Recommendation.
master-thesis-code
nsvki.nl
scMM
squidpy
Spatial Single Cell Analysis in Python
Thesis-simulation-
squidpy
Spatial Single Cell Analysis in Python
MERFISH_analysis
Matlab software for the analysis of MERFISH data and the construction of MERFISH probes.
FrancescaDr's Repositories
FrancescaDr/squidpy
Spatial Single Cell Analysis in Python
FrancescaDr/geome
FrancescaDr/master-thesis-code
FrancescaDr/CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
FrancescaDr/scMM
FrancescaDr/group-movie-recommendation
Group Movie Recommendation. Project made in the context of TU Delft's CS4056 Multimedia Search & Recommendation.
FrancescaDr/Thesis-simulation-
FrancescaDr/nsvki.nl